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# Machine Learning Engineer

- **Company:** Pangram Labs, Inc.
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Airflow, Amazon Web Services, Big Data, Profiling, Nvidia CUDA, Computer Programming, DevOps, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Cloud Platform System, Large Language Models, Apache Spark, Deep Learning, Kaggle, Gpu Programming, Information Technology, Machine Learning Operations, Data Pipelines, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-junior-pangram-labs-9015795

## About the Role

* B.S. or M.S. in Computer Science or related areas
 * Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
 * Strong programming skills in Python and modern ML frameworks
 * Excellent understanding of transformers and LLM fundamentals
 * Comfort working across research and engineering boundaries

Nice to have

 * Experience with NVIDIA GPU programming and CUDA
 * Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
 * Experience with inference frameworks like vLLM
 * Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
 * Experience with MLOps and experiment tracking
 * Experience with DevOps tools
 * Familiarity with cloud-based infrastructure (AWS/GCP)

## Description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.

At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.

Responsibilities:

 * Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
 * Manage distributed infrastructure for multi-GPU LLM training
 * Profiling and optimizing training and inference code
 * Deploy efficient inference pipelines for serving LLMs at scale


## Related Videos

- [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)

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